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A consulting company has recently implemented a mentorship program to reduce turnover intention of junior consultants. HR department surveyed 78 pairs of mentors and mentees.

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A consulting company has recently implemented a mentorship program to reduce turnover intention of junior consultants. HR department surveyed 78 pairs of mentors and mentees. In the mentor survey, HR department asked mentors how often they discussed career-related issues with their mentees (Responses were on a 5-point Likert-type scale, 1 = not at all, 5 = very frequently). In the mentee survey, HR department asked mentees the extent to which they will leave the current company in the next 6 months (Responses were on a 5-point Likert-type scale, 1 = very unlikely, 5 = very likely). HR department wanted to know whether there is a relationship between the two variables.

Independence Chi-square test

Two paired sample mean comparison

Two-way ANOVA

Correlation

A company planned to offer some new child care benefits to its employees. Before it decided which benefit should be used, it conducted a poll to ask its employees which of the following three benefits was most needed (1 = on-site child care center, 2 = flexible spending accounts, and 3 = flexible work schedules). The company wanted to examine whether there was an association between gender (1 = male, 2 = female) and the choice of child care benefits.

Two paired sample mean comparison

Independence Chi-square test

Two-way ANOVA

Simple regression

A research team in Singapore has recently found that companies using more work-life benefits tend to have better financial performance. The research team collected a large-scale survey data from 2,570 firms. In the survey, the research team asked how many work-life benefits a firm offered to its employees. They also collected ROA (return on assets, a continuous measure of financial performance) of each firm. In order to examine the relationship between the number of work-life benefits and ROA, the research team has probably used:

Independence Chi-square test

Two paired sample mean comparison

One-way ANOVA

Regression

The average GPA of MHRM applicants in the past three years was 3.35. This program received 300 applications this year and wanted to examine whether the average GPA of this year's applicants was significantly different from 3.35.

Two independent sample mean comparison

Two paired sample mean comparison

Two-way ANOVA

Single mean comparison

An applicant of the MHRM program asked whether those whose applications were accepted and those whose applications were denied differed in the average GMAT scores. The program office wanted to examine this question by using last year's application data.

Two independent sample mean comparison

Two paired sample mean comparison

Two-way ANOVA

Single mean comparison

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lulli'hj.I would we want to use the normal approximation to the binomial instead ofjust using the binomial distribution? Ciu estion 10- options: I The normal distribution works all the time. so use it for everything. The binomial distribution is awkward and computationally intense since. However, the binomial distribution looks like the normal distn'bution if n is large. I The normal distribution uses the mean and the standard deviation. I The normal distribution is more accurate. The binomial distribution is awkward and takes too long if you have to murtiplyf ma ny probabilities. The binomial distribution looks like the normal distribution if n is large. Which of the following is true of the binomial distribution? Group of answer choices a. In Excel's binomial distribution function, setting cumulative to TRUE will provide the probability mass function for a specified value. b. The expected value of the binomial distribution is np(1 - p), where n is the number of experiments and p is the probability of success. c. The expected value of the binomial distribution is A, a constant. d. The binomial distribution can assume different shapes and amounts of skewness, depending on the parameters.(1 point) If we are looking to find the probability of observing the 7th head after 8 independent flips and we let X' be the random variable for the number of flips of an unbiased coin, then X follows a: A. Negative Binomial Distribution. B. Binomial Distribution. C. Hypergeometric Distribution D. Geometric Distribution Find: P(X = 8) = How do you tell if x follows Negative Binomial Distribution, Binomial distribution, Hypergeometric distribution, Geometric distribution?Which of the following is true of the binomial distribution? Group of answer choices a. In Excel's binomial distribution function, setting cumulative to TRUE will provide the probability mass function for a specified value. b. The expected value of the binomial distribution is np(1 - p), where n is the number of experiments and p is the probability of success. c. The expected value of the binomial distribution is A, a constant. d. The binomial distribution can assume different shapes and amounts of skewness, depending on the parameters

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